Owner-Occupancy Fraud and Mortgage Performance
We use a matched credit bureau and mortgage dataset to identify occupancy fraud in residential mortgage originations, that is, borrowers who misrepresented their occupancy status as owner-occupants rather than residential real estate investors. In contrast to previous studies, our dataset allows us to show that – during the housing bubble – such fraud was broad based, appearing in the government-sponsored enterprise market and in loans held on bank portfolios as well, and increases the effective share of investors by 50 percent. We show that a key benefit of investor fraud was obtaining a ...
Household Borrowing in Historical Perspective
Today, the New York Fed’s Center for Microeconomic Data released its Quarterly Report on Household Debt and Credit for the first quarter of 2017. The report shows a rise in household debt balances in the quarter of $149 billion, the eleventh consecutive quarterly increase since the long period of deleveraging following the Great Recession. As of March 31, 2017, household debt balances stood at $12.73 trillion, surpassing the previous 2008 peak and hitting a level 14 percent above the trough seen in the second quarter of 2013. With this report’s release, we’re adding two new charts which ...
Just Released: Auto Lending Keeps Pace as Delinquencies Mount in Auto Finance Sector
Total household debt increased by $116 billion to reach $12.96 trillion in the third quarter of 2017, according to the latest Quarterly Report on Household Debt and Credit released today by the New York Fed?s Center for Microeconomic Data. Household debt has been growing since mid-2013, boosted in part by steady growth in auto loan balances, which have grown for twenty-six consecutive quarters thanks to record-high levels of newly originated loans. Although new vehicle sales had begun to slump over the summer after several strong years of growth, September and October saw a rebound in sales, ...
Losing Public Health Insurance: TennCare Disenrollment and Personal Financial Distress
A main goal of health insurance is to smooth out the financial risk that comes with health shocks and health care. Nevertheless, there has been relatively sparse evidence on how health insurance affects financial outcomes. The few studies that exist focus on the effect of gaining health insurance. This paper explores the effect of losing public health insurance on measures of individual financial well-being. In 2005, the state of Tennessee dropped about 170,000 individuals from Medicaid, resulting in a plausibly exogenous shock to health insurance status. Both across- and within-county ...
Just Released: Cleaning Up Collections
Household debt balances continued their upward trend in the second quarter, with increases in mortgage, auto, and credit card balances, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed?s Center for Microeconomic Data. Student loans were roughly flat, a typical seasonal pattern in the second quarter. The Quarterly Report contains summaries of the types of information that is covered in credit reports, sourced from the New York Fed Consumer Credit Panel (CCP). The CCP is based on anonymized Equifax credit reports and is the source for the analysis ...
Information, Contract Design, and Unsecured Credit Supply: Evidence from Credit Card Mailings
How do lenders of unsecured credit use screening and contract design to mitigate the risks of information asymmetry and limited commitment in the absence of collateral? To address this question, we take advantage of a unique dataset of over 200,000 credit card mail solicitations to a representative sample of households over the recent credit cycle--a period that includes the implementation of the CARD Act. We find that while lenders use credit scores as a prominent screening device, they also take into account a wide array of other information on borrowers' credit histories and financial and ...
The Survey of Consumer Expectations Turns Two!
The Federal Reserve Bank of New York’s Survey of Consumer Expectations (SCE) turned two years old in June. In this post, we review some of the key findings from the first two years of the survey’s history, highlighting the most noteworthy trends revealed in the data.
Racial Disparities in Student Loan Outcomes
Total household debt balances increased by $92 billion in the third quarter of 2019, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. The balance increase reflected nearly across the board gains in various types of debt, with the largest gains of $31 billion in mortgage balances (0.3 percent) and $20 billion in student loan balances (1.4 percent). The Quarterly Report, and the following analysis, are both based on the New York Fed’s Consumer Credit Panel, which is itself based on anonymized Equifax credit report ...
Charging into Adulthood: Credit Cards and Young Consumers
The New York Fed’s Center for Microeconomic Data today released the Quarterly Report on Household Debt and Credit for the fourth quarter of 2019. Total household debt balances grew by $193 billion in the fourth quarter, marking a $601 billion increase in household debt balances in 2019, the largest annual gain since 2007. The main driver was a $433 billion annual upswing in mortgage balances, also the largest since 2007. Auto loan and credit card balances both increased by a brisk $57 billion last year, while student loan balances climbed by a more muted $51 billion, well below the $114 ...
How important is variability in consumer credit limits?
Credit limit variability is a crucial aspect of the consumption, savings, and debt decisions of households in the United States. Using a large panel, this paper first demonstrates that individuals gain and lose access to credit frequently and often have their credit limits reduced unexpectedly. Credit limit volatility is larger than most estimates of income volatility and varies over the business cycle. While typical models of intertemporal consumption fix the credit limit, I introduce a model with variable credit limits. Variable credit limits create a reason for households to hold both high ...